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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
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candidate, with a strong background in the development of machine learning methods for bioinformatics. The project focuses on the development of new neural network architectures to perform inference
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and important criteria for candidates ** Required: - a master degree or an engineering degree in computer science or in computational bioinformatics with strong emphasis on algorithms - ability
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contaminated with hydrocarbons. She/her will work at the interface of microbial ecology, bioinformatics, and environmental engineering, in close collaboration with industrial partners (HYDREKA, TAUW France). She
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researcher will use molecular resources and develop bioinformatics tools to describe the taxonomic diversity of pathogen communities. In addition, using metabarcoding approaches based on environmental DNA
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the southern area of Grand Paris. We offer an international, highly collaborative research environment with access to state-of-the-art core facilities, including advanced imaging, genomics, and bioinformatics
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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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existing meta-genomes, using up-to-date bioinformatics tools. The postdoctoral associate will explore the genes and pathways associated to carbon and iron metabolism of heterotrophic prokaryotes using
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dynamic protein complexes. Requirements: ‒ Master 2 in computer science, bioinformatics, biophysics, or a related field ‒ Strong theoretical foundations and practical skills in at least two of the following
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departments, IRISA is a center of excellence whose scientific priorities include bioinformatics, system security, new software architectures, virtual reality, big data analysis, and artificial intelligence